4 citations · 7 across the 9 of their papers we have counts for
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cs.LG2024★ 4 cited
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation
Ziwei Zhan, Wenkuan Zhao, Yuanqing Li +6
Federated learning (FL) is a collaborative machine learning approach that enables multiple clients to train models without sharing their private data. With the rise of deep learnin…
cs.LG2024★ 3 cited
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients
Han Liang, Ziwei Zhan, Weijie Liu +3
Federated Learning (FL) is a distributed machine learning paradigm that achieves a globally robust model through decentralized computation and periodic model synthesis, primarily f…